Integration of multi-source images for improving spatial resolution of snow depth detection in western China

Qiming ZHOU*, Bo Sun

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Snow depth is one of the most important parameters in snow cover studies. Although passive microwave remote sensing imagery has been widely used for detecting snow depth in a large area, the accuracy is limited due to the coarse spatial resolution especially in complex terrain areas. This paper aims to improve the spatial resolution of snow depth detection by integrating multi-source remote sensing data, such as optical snow extent and passive microwave brightness temperature data. With the assist of snow extent product with higher spatial resolution, a linear unmixing method is adopted for improving mixed pixel problem in passive microwave images. Snow extent is not only utilized for identifying the proportion of different components in a mixed pixel but also for indicating their spatial locations. Illustrated with a case study in western China, the spatial resolution of snow depth detection is increased with pixel size from 0.25 degree to 0.05 degree. The proposed method shows that integrating higher resolution optical product is an effective means for improving the spatial resolution of snow depth detection.

Original languageEnglish
Title of host publication2011 International Symposium on Image and Data Fusion, ISIDF 2011
DOIs
Publication statusPublished - 2011
Event2011 International Symposium on Image and Data Fusion, ISIDF 2011 - Tengchong, Yunnan, China
Duration: 9 Aug 201111 Aug 2011

Publication series

Name2011 International Symposium on Image and Data Fusion, ISIDF 2011

Conference

Conference2011 International Symposium on Image and Data Fusion, ISIDF 2011
Country/TerritoryChina
CityTengchong, Yunnan
Period9/08/1111/08/11

Scopus Subject Areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

User-Defined Keywords

  • multi-source data fusion
  • snow cover
  • snow depth detection
  • spatial resolution
  • western China

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